TL;DR

Staff Software Engineer (Data Infrastructure): Designing, building, and operating secure, reliable, and cost-efficient data infrastructure that powers Slack’s analytics, ML, and data-driven decision-making with an accent on core data services, observability, and automation. Focus on scaling compute and orchestration layers, enabling real-time OLAP capabilities, and driving improvements in security and developer experience.

Location: Remote within the US (California, Washington, Georgia)

Company

%hirify_global% is a leading cloud-based software company, and Slack is its business communication platform.

What you will do

Design, build, and operate scalable data infrastructure for analytics and ML.
Serve as DRI for core data services like EMR, StarRocks, Pinot, and Airflow.
Improve security, cost efficiency, and developer experience across data infrastructure.
Build automation and self-service tools that empower data teams.
Collaborate with data engineering, platform, and security teams on scalable solutions.
Contribute to observability, monitoring, and alerting via Grafana and related tooling.

Requirements

7+ years of software or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms.
Proven experience in building, deploying, and operating distributed infrastructure at scale.
Strong technical background with big data and infrastructure technologies (EMR, Airflow, Kubernetes, etc.).
Proficiency in Python, Golang, Bash, and SQL.
Familiarity with CI/CD (GitHub Actions), Vault, Terraform, Chef, and Grafana.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

Hands-on experience supporting data pipelines or data engineering workflows.

Culture & Benefits

Positive, diverse, and supportive culture valuing curiosity, inventiveness, and collaboration.
Engineers who care deeply about craftsmanship, reliability, and empowering others.
Strive to be smart, humble, hardworking, and collaborative.